Comprehensive Study Guide: Optimization and Curve Sketching

1. Variables and Profit Maximization Strategy
  • Profit vs. Price Variables:     - Capital PP stands for total profit.     - Small pp stands for price per unit.     - The speaker emphasizes that these are distinct variables, though students may choose different letters (e.g., JJ) for profit as long as the distinction is maintained.
  • Substitution Process:     - The formula linking quantity qq and price pp is q=120−pq = 120 - p.     - To express the profit formula solely in terms of pp, substitute (120−p)(120 - p) everywhere qq appears.
  • Maximization Steps:     - 1. Multiply out the simplified profit expression and collect like terms.     - 2. Calculate the first derivative of the profit function with respect to price (P′(p)P'(p)).     - 3. Set the first derivative to zero (P′(p)=0P'(p) = 0).     - In the provided example, this yields a price p=70p = 70.
  • Calculating the Largest Profit:     - Finding p=70p = 70 only identifies the optimal price.     - To find the actual maximum profit, you must plug p=70p = 70 back into the original profit formula, not the derivative (which would necessarily equal zero).
2. The Second Derivative Test
  • Determining Maxima/Minima:     - To verify p=70p = 70 is a maximum, calculate the second derivative (P′′(p)P''(p)).     - In this case, P′′(p)=−2P''(p) = -2.
  • Interpretation of Constant Second Derivatives:     - Even if the second derivative is a constant (e.g., −2-2) and contains no pp to plug the value into, it applies to all points on the curve.     - Since −2<0-2 < 0, the function is always concave down, meaning any critical point found is a maximum.
  • Mark Distribution for the Test:     - Calculating the second derivative correctly (1 mark).     - Stating that P′′(p)<0P''(p) < 0 (1 mark).     - Providing a final conclusion that the point is a maximum (1 mark).
3. Alternative Approaches and Endpoint Analysis
  • Substitution in Terms of qq:     - One could alternatively rearrange q=120−pq = 120 - p to p=120−qp = 120 - q and substitute pp out of the profit formula.     - Differentiating with respect to qq would yield an optimal quantity, which must then be plugged back into the price-quantity equation to find the final price.
  • Absolute vs. Local Maximums:     - Technically, to find an absolute maximum, one must check the boundaries/endpoints of the domain.     - In this context, the endpoints for pp are typically p=0p = 0 (price is zero) and p=120p = 120 (quantity is zero).     - Example Calculation:         - At p=0p = 0 or p=120p = 120, profits may be negative (e.g., −2400-2400).         - Compare these values to the profit at p=70p = 70. The largest resulting value is the absolute maximum.
4. Curve Sketching: Domain and Intercepts
  • Function Analyzed: f(x)=ln⁡(x2)x2f(x) = \frac{\ln(x^2)}{x^2}.
  • Determining the Domain:     - Strategy: Start by assuming the domain is all real numbers, then subtract "errors."     - Error 1: Denominator cannot be zero (x2≠0  ⟹  x≠0x^2 \neq 0 \implies x \neq 0).     - Error 2: Logarithms cannot take zero or negative arguments (x2>0x^2 > 0).     - Because the xx is squared inside the natural log, negative numbers are allowed (they become positive before the log is applied). Only x=0x = 0 is excluded.     - Domain: All real numbers except zero (x∈R,x≠0x \in \mathbb{R}, x \neq 0).
  • X-Intercepts (y=0y = 0):     - Set 0=ln⁡(x2)x20 = \frac{\ln(x^2)}{x^2}.     - Multiply by x2x^2 to get 0=ln⁡(x2)0 = \ln(x^2).     - Solve using the definition of a logarithm: e0=x2  ⟹  1=x2e^0 = x^2 \implies 1 = x^2.     - x=±1x = \pm 1.
  • Y-Intercepts (x=0x = 0):     - To find y-intercepts, substitute x=0x = 0 into the function.     - Since x=0x = 0 is undefined (division by zero and ln⁡(0)\ln(0)), there is no y-intercept.
  • Parity and Symmetry:     - Test for even/odd by plugging in (−x)(-x).     - f(−x)=ln⁡((−x)2)(−x)2=ln⁡(x2)x2=f(x)f(-x) = \frac{\ln((-x)^2)}{(-x)^2} = \frac{\ln(x^2)}{x^2} = f(x).     - Because f(−x)=f(x)f(-x) = f(x), the function is even.     - An even function is symmetrical about the y-axis.
5. Stationary and Singular Points
  • The First Derivative: The speaker references a derivative where the numerator is 2(1−ln⁡(x2))2(1 - \ln(x^2)).
  • Solving for Stationary Points:     - Set the numerator to zero: 1−ln⁡(x2)=0  ⟹  ln⁡(x2)=11 - \ln(x^2) = 0 \implies \ln(x^2) = 1.     - e1=x2  ⟹  x=±ee^1 = x^2 \implies x = \pm \sqrt{e}.     - Decimal approximation: e≈1.65\sqrt{e} \approx 1.65.     - Corresponding y-values: Plug ±e\pm \sqrt{e} into f(x)f(x).         - Numerator: ln⁡((e)2)=ln⁡(e)=1\ln((\sqrt{e})^2) = \ln(e) = 1.         - Denominator: (e)2=e(\sqrt{e})^2 = e.         - Stationary points are at (e,1e)(\sqrt{e}, \frac{1}{e}) and (−e,1e)(-\sqrt{e}, \frac{1}{e}).
  • Singular Points vs. Asymptotes:     - A singular point occurs where the derivative is undefined but the original function is defined (e.g., y=∣x∣y = \sqrt{|x|} at x=0x = 0).     - x=0x = 0 makes the derivative of f(x)=ln⁡(x2)x2f(x) = \frac{\ln(x^2)}{x^2} undefined, but since the original function is also undefined at x=0x = 0, it is an asymptote, not a singular point.
6. First Derivative Number Line Analysis
  • Critical values for the number line: −e-\sqrt{e}, 00, and e\sqrt{e}.
  • Interval Test (using f′(x)=2(1−ln⁡(x2))x3f'(x) = \frac{2(1 - \ln(x^2))}{x^3}):     - x<−ex < -\sqrt{e}: (e.g., x=−3x = -3): Numerator(−)/Denominator(−)=(+)\text{Numerator} (-) / \text{Denominator} (-) = (+). Increasing.     - −e<x<0-\sqrt{e} < x < 0: (e.g., x=−1x = -1): Numerator(+)/Denominator(−)=(−)\text{Numerator} (+) / \text{Denominator} (-) = (-). Decreasing.     - 0<x<e0 < x < \sqrt{e}: (e.g., x=1x = 1): Numerator(+)/Denominator(+)=(+)\text{Numerator} (+) / \text{Denominator} (+) = (+). Increasing.     - x>ex > \sqrt{e}: (e.g., x=3x = 3): Numerator(−)/Denominator(+)=(−)\text{Numerator} (-) / \text{Denominator} (+) = (-). Decreasing.
  • Conclusion:     - (−e,1e)(-\sqrt{e}, \frac{1}{e}) is a local maximum.     - (e,1e)(\sqrt{e}, \frac{1}{e}) is a local maximum.
7. Second Derivative and Points of Inflection
  • In the 2025 assessment, the second derivative and x-coordinates for inflection points were provided to students.
  • Inflection Points: Occur where f′′(x)=0f''(x) = 0.
  • The speaker identifies the x-values for these points as ±e5/3\pm \sqrt{e^{5/3}} (approx. ±2.3\pm 2.3).
  • Number Line for f′′(x)f''(x):     - Critical values: −e5/3-\sqrt{e^{5/3}}, 00, and e5/3\sqrt{e^{5/3}}.     - Even if a point is an asymptote (like x=0x = 0), it must be included on the number line to check for changes in concavity.
8. Questions & Discussion
  • Question: If zero is a singular point, would the graph have a sharp corner?
  • Response: If zero were a singular point, the graph would have a sharp corner or a vertical tangent. However, in this specific function, x=0x = 0 is a vertical asymptote because the function itself is undefined there.
  • Question: Should we include the endpoint in the interval when stating where a function is increasing?
  • Response: Generally, functions are considered increasing on an interval if the derivative is ≥0\ge 0. There is a technical distinction between "increasing" (includes ≥0\ge 0) and "strictly increasing" (only >0> 0), but usually, including the endpoint (e.g., x≤−ex \le -\sqrt{e}) is acceptable and won't lose marks.